##
##
## | | level | ASD | TD | p | test |
## |:-------------------------:|:------:|:---------------------:|:----------------------:|:------:|:----:|
## | **n** | | 28 | 27 | | |
## | **SEX (%)** | Female | 6 (21.4) | 14 (51.9) | 0.039 | |
## | | Male | 22 (78.6) | 13 (48.1) | | |
## | **V1.Age (mean (SD))** | | 39.39 (13.77) | 39.56 (13.98) | 0.965 | |
## | **MEL_cat (mean (SD))** | | 3.62 (1.55) | 4.41 (1.05) | 0.033 | |
## | **INR (mean (SD))** | | 3.33 (2.54) | 4.43 (2.09) | 0.087 | |
## | **zipIncome (mean (SD))** | | 53477.39 (18001.70) | 57480.76 (15744.99) | 0.439 | |
## | **SES1 (mean (SD))** | | -0.40 (2.06) | 0.62 (1.76) | 0.054 | |
## | **ExpLang_T (mean (SD))** | | 31.67 (11.07) | 49.78 (11.10) | <0.001 | |
## | **RecLang_T (mean (SD))** | | 32.32 (11.85) | 53.85 (10.96) | <0.001 | |
## | **ELC_SS (mean (SD))** | | 71.96 (20.00) | 105.67 (15.78) | <0.001 | |
## | **TBV (mean (SD))** | | 1077031.79 (96937.48) | 1050164.41 (111924.89) | 0.345 | |
##
## Table: Participant Summary Table for Q>=4
##
##
## | | level | ASD | TD | p | test |
## |:-------------------------:|:------:|:----------------------:|:----------------------:|:------:|:----:|
## | **n** | | 36 | 31 | | |
## | **SEX (%)** | Female | 10 (27.8) | 14 (45.2) | 0.221 | |
## | | Male | 26 (72.2) | 17 (54.8) | | |
## | **V1.Age (mean (SD))** | | 39.03 (12.95) | 37.61 (14.20) | 0.671 | |
## | **MEL_cat (mean (SD))** | | 3.61 (1.48) | 4.42 (0.99) | 0.013 | |
## | **INR (mean (SD))** | | 3.36 (2.53) | 4.22 (2.14) | 0.149 | |
## | **zipIncome (mean (SD))** | | 54158.10 (18734.17) | 56118.68 (15004.41) | 0.675 | |
## | **SES1 (mean (SD))** | | -0.35 (1.97) | 0.54 (1.66) | 0.053 | |
## | **ExpLang_T (mean (SD))** | | 32.62 (11.76) | 48.77 (11.52) | <0.001 | |
## | **RecLang_T (mean (SD))** | | 32.49 (12.52) | 53.32 (11.13) | <0.001 | |
## | **ELC_SS (mean (SD))** | | 72.23 (19.97) | 104.94 (16.57) | <0.001 | |
## | **TBV (mean (SD))** | | 1076827.78 (100384.08) | 1045805.34 (115665.34) | 0.244 | |
##
## Table: Participant Summary Table for Q>=3
Bivariate Plot
Bivariate Plot
Bivariate Plot ASD Only
Bivariate Plot ASD Only
Bivariate Plot, TD Only
Bivariate Plot, TD Only
| Â | rh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.49 | 2.58 – 4.40 | <0.001 |
| Income:Needs | 0.03 | -0.01 – 0.06 | 0.104 |
| TBV | 0.00 | -0.00 – 0.00 | 0.055 |
| Age | 0.01 | -0.00 – 0.01 | 0.157 |
| Observations | 53 | ||
| R2 / R2 adjusted | 0.236 / 0.189 | ||
| Â | rh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.64 | 2.86 – 4.42 | <0.001 |
| Income:Needs | 0.03 | -0.01 – 0.06 | 0.104 |
| TBV | 0.00 | 0.00 – 0.00 | 0.039 |
| Age | 0.00 | -0.00 – 0.01 | 0.245 |
| Observations | 64 | ||
| R2 / R2 adjusted | 0.202 / 0.162 | ||
Zip-Income is a significant predictor or lh pars orbitalis LGI when controlling for age (removed TBV because it was not a significant predictor in the model with age and Zip-Income).
Dx not a significant predictor in this model, nor is the diagnosisXzipIncome interaction term.
| Â | lh_parsorbitalis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.68 | 2.36 – 3.01 | <0.001 |
| Zip-Income | 0.00 | 0.00 – 0.00 | 0.018 |
| Age | 0.01 | 0.00 – 0.01 | 0.019 |
| Observations | 44 | ||
| R2 / R2 adjusted | 0.235 / 0.198 | ||
| Â | lh_parsorbitalis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| (Intercept) | 2.66 | 2.38 – 2.94 | <0.001 |
| zipIncome | 0.00 | 0.00 – 0.00 | 0.002 |
| V1.Age | 0.01 | 0.00 – 0.01 | 0.014 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.267 / 0.239 | ||
Dx predicts left hemisphere pars triangularis and right hemisphere middle temporal LGI, when controlling for TBV, age, and sex (the latter were not sig. predictors for RH MTG LGI, so removed from the model).
Participants with ASD show higher lh pars triangularis LGI than TD participants, controlling for other variables.
ASD participants show lower rh MTG LGI than TD participants.
| Â | lh_parstriangularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.26 | 2.51 – 4.01 | <0.001 |
| Dx | -0.15 | -0.29 – -0.01 | 0.034 |
| TBV | 0.00 | 0.00 – 0.00 | 0.001 |
| Sex | -0.18 | -0.35 – -0.01 | 0.038 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.234 / 0.189 | ||
| Â | rh_middletemporal_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.29 | 1.83 – 2.76 | <0.001 |
| Dx | 0.09 | 0.01 – 0.18 | 0.035 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Observations | 54 | ||
| R2 / R2 adjusted | 0.393 / 0.369 | ||
| Â | lh_parstriangularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.01 | 2.33 – 3.69 | <0.001 |
| Dx | -0.10 | -0.23 – 0.03 | 0.116 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Sex | -0.14 | -0.28 – 0.01 | 0.059 |
| Observations | 67 | ||
| R2 / R2 adjusted | 0.262 / 0.227 | ||
| Â | rh_middletemporal_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.53 | 2.10 – 2.97 | <0.001 |
| Dx | 0.05 | -0.03 – 0.13 | 0.235 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Observations | 66 | ||
| R2 / R2 adjusted | 0.299 / 0.277 | ||
| Â | lh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.12 | 2.32 – 3.93 | <0.001 |
| Sex | -0.22 | -0.40 – -0.04 | 0.020 |
| Dx | -0.14 | -0.29 – 0.01 | 0.065 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.359 / 0.321 | ||
| Â | lh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.15 | 2.47 – 3.82 | <0.001 |
| Sex | -0.19 | -0.33 – -0.05 | 0.009 |
| Dx | -0.14 | -0.27 – -0.01 | 0.031 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Observations | 67 | ||
| R2 / R2 adjusted | 0.423 / 0.395 | ||
Bivariate Plot ASD Only, with Bx Data
Bivariate Plot ASD Only, with Bx Data
Bivariate Plot TD Only, with Bx Data
Bivariate Plot TD Only, with Bx Data
Receptive Language is postively associated with rh pars orbitalis LGI, controlling for dx and age for Q>=4 (TBV not a significant predictor, removed from the model). I should probably make partial regression plots to better visualize the assocations.
Insignificant negative relationship between receptive language and lh pars orbitalis LGI that is significant in the Q>=3 dataset (see below). The negative effect looks to be mostly driven by the ASD group, although there is no significant RecLangXGroup interaction.
Both expressive and receptive language predict rh and lh fusiform LGI, but not including in this summary as it's not directly related to the dissertation, but noting for later. ELC also associated with fusiform LGI.
| Â | rh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 4.45 | 4.06 – 4.84 | <0.001 |
| Rec Lang | 0.00 | -0.00 – 0.01 | 0.326 |
| Dx | -0.12 | -0.37 – 0.12 | 0.317 |
| Age | 0.01 | 0.00 – 0.02 | 0.006 |
| Observations | 54 | ||
| R2 / R2 adjusted | 0.145 / 0.094 | ||
| Â | lh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 4.44 | 4.09 – 4.79 | <0.001 |
| Rec Lang | 0.01 | -0.00 – 0.01 | 0.157 |
| Dx | -0.24 | -0.46 – -0.02 | 0.030 |
| Age | 0.01 | 0.00 – 0.02 | <0.001 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.253 / 0.209 | ||
| Â | rh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 4.75 | 4.44 – 5.06 | <0.001 |
| Exp Lang | 0.01 | -0.00 – 0.02 | 0.101 |
| Dx | -0.17 | -0.42 – 0.08 | 0.173 |
| Observations | 53 | ||
| R2 / R2 adjusted | 0.055 / 0.017 | ||
Receptive Language is not significantly associated with rh pars orbitalis LGI for the Q>=3 dataset, in contrast to the Q>=4 results, controlling for dx and age (TBV not a significant predictor, removed from the model).
Significant, negative relationship between receptive language and lh pars orbitalis LGI in the Q>=3 dataset (was not quite significant in the Q>=4 dataset) for ASD group, but not for TD group. The RecLangXGroup interaction is significant in this dataset.
Can run a special regression model designed for truncated data distributions (e.g., floor effects) in order to verify that this result is not driven just by violations of homoscedasticity assumtion (if we decide to stick with this dataset. . .).
No significant relationship between expressive language and rh pars opercularis LGI, controlling for dx, TBV, and age in the Q>=3 dataset (in contrast to Q>=4).
| Â | rh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 4.50 | 4.16 – 4.85 | <0.001 |
| Rec Lang | 0.00 | -0.00 – 0.01 | 0.434 |
| Dx | -0.08 | -0.28 – 0.13 | 0.464 |
| Age | 0.01 | 0.00 – 0.01 | 0.006 |
| Observations | 65 | ||
| R2 / R2 adjusted | 0.122 / 0.079 | ||
| Â | lh_parsorbitalis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.91 | 3.27 – 4.54 | <0.001 |
| Rec Lang | -0.02 | -0.04 – -0.01 | 0.005 |
| Dx | -0.53 | -1.02 – -0.04 | 0.034 |
| Age | 0.01 | 0.00 – 0.01 | 0.017 |
| RL by Dx Intxn | 0.01 | 0.00 – 0.02 | 0.019 |
| Observations | 66 | ||
| R2 / R2 adjusted | 0.215 / 0.164 | ||
| Â | rh_parsopercularis_lgi | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 4.78 | 4.50 – 5.06 | <0.001 |
| Exp Lang | 0.00 | -0.00 – 0.01 | 0.237 |
| Dx | -0.10 | -0.31 – 0.10 | 0.327 |
| Observations | 64 | ||
| R2 / R2 adjusted | 0.025 / -0.007 | ||
Bivariate Plot
Bivariate Plot
Bivariate Plot ASD Only
Bivariate Plot ASD Only
Bivariate Plot, TD Only
Bivariate Plot, TD Only
| Â | rh_superiortemporal_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.36 | 3.16 – 3.56 | <0.001 |
| Income:Needs | 0.02 | -0.00 – 0.04 | 0.057 |
| Age | -0.00 | -0.01 – -0.00 | 0.003 |
| Sex | 0.04 | -0.05 – 0.13 | 0.345 |
| Observations | 54 | ||
| R2 / R2 adjusted | 0.222 / 0.176 | ||
| Â | rh_parstriangularis_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.78 | 2.59 – 2.97 | <0.001 |
| Income:Needs | 0.01 | -0.00 – 0.03 | 0.114 |
| Age | -0.00 | -0.01 – -0.00 | 0.042 |
| Sex | 0.09 | 0.01 – 0.18 | 0.032 |
| Observations | 68 | ||
| R2 / R2 adjusted | 0.141 / 0.100 | ||
| Â | lh_middletemporal_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.32 | 3.14 – 3.49 | <0.001 |
| Income:Needs | 0.02 | 0.00 – 0.04 | 0.019 |
| Age | -0.00 | -0.01 – -0.00 | 0.003 |
| Sex | 0.03 | -0.04 – 0.11 | 0.393 |
| Observations | 68 | ||
| R2 / R2 adjusted | 0.190 / 0.152 | ||
| Â | lh_superiortemporal_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.04 | 2.86 – 3.21 | <0.001 |
| Income:Needs | 0.01 | -0.00 – 0.03 | 0.074 |
| Age | -0.00 | -0.00 – 0.00 | 0.359 |
| Sex | 0.01 | -0.07 – 0.09 | 0.816 |
| Observations | 68 | ||
| R2 / R2 adjusted | 0.058 / 0.014 | ||
SES1 predicts rh middle temporal CT (controlling for age and sex).
SES1 predicts lh pars opercularis CT (controlling for age and sex).
TBV not a significant predictor of CT generally.
| Â | lh_parsopercularis_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.13 | 2.98 – 3.29 | <0.001 |
| SES1 | 0.02 | 0.00 – 0.04 | 0.044 |
| Age | -0.01 | -0.01 – -0.00 | <0.001 |
| Sex | 0.03 | -0.05 – 0.10 | 0.456 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.284 / 0.242 | ||
| Â | rh_middletemporal_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.25 | 3.07 – 3.42 | <0.001 |
| SES1 | 0.02 | 0.00 – 0.04 | 0.039 |
| Age | -0.00 | -0.01 – -0.00 | 0.017 |
| Sex | 0.08 | -0.00 – 0.16 | 0.061 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.196 / 0.148 | ||
| Â | rh_middletemporal_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.50 | 3.08 – 3.93 | <0.001 |
| SES1 | 0.02 | -0.01 – 0.04 | 0.138 |
| TBV | -0.00 | -0.00 – 0.00 | 0.187 |
| Age | -0.00 | -0.01 – 0.00 | 0.440 |
| Sex | 0.08 | -0.02 – 0.17 | 0.116 |
| Observations | 69 | ||
| R2 / R2 adjusted | 0.100 / 0.044 | ||
| Â | rh_middletemporal_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.10 | 2.76 – 3.44 | <0.001 |
| SES1 | 0.02 | -0.00 – 0.03 | 0.064 |
| TBV | -0.00 | -0.00 – 0.00 | 0.968 |
| Age | -0.00 | -0.01 – -0.00 | 0.006 |
| Sex | 0.02 | -0.06 – 0.09 | 0.667 |
| Observations | 69 | ||
| R2 / R2 adjusted | 0.185 / 0.134 | ||
| Â | lh_parsorbitalis_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.54 | 3.31 – 3.78 | <0.001 |
| Dx | 0.10 | -0.01 – 0.21 | 0.069 |
| Age | -0.01 | -0.01 – -0.01 | <0.001 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.337 / 0.311 | ||
| Â | lh_parsorbitalis_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 3.42 | 3.17 – 3.67 | <0.001 |
| Dx | 0.15 | 0.03 – 0.27 | 0.014 |
| Age | -0.01 | -0.01 – -0.01 | <0.001 |
| Observations | 70 | ||
| R2 / R2 adjusted | 0.288 / 0.267 | ||
| Â | rh_parstriangularis_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.93 | 2.70 – 3.16 | <0.001 |
| Sex | 0.08 | -0.00 – 0.16 | 0.059 |
| Age | -0.01 | -0.01 – -0.00 | <0.001 |
| Dx | 0.04 | -0.04 – 0.12 | 0.373 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.268 / 0.225 | ||
| Â | lh_parsorbitalis_CT | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 2.76 | 2.52 – 2.99 | <0.001 |
| Sex | 0.09 | 0.00 – 0.18 | 0.050 |
| Age | -0.00 | -0.01 – -0.00 | 0.041 |
| Dx | 0.05 | -0.03 – 0.14 | 0.228 |
| Observations | 70 | ||
| R2 / R2 adjusted | 0.115 / 0.074 | ||
Bivariate Plot
Bivariate Plot
Bivariate Plot ASD Only
Bivariate Plot ASD Only
Bivariate Plot, TD Only
Bivariate Plot, TD Only
| Â | rh_parsorbitalis_area | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 16.67 | -267.00 – 300.34 | 0.906 |
| INR | -9.01 | -19.57 – 1.55 | 0.093 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Age | 1.37 | -0.94 – 3.69 | 0.238 |
| Sex | -24.58 | -88.26 – 39.10 | 0.442 |
| Observations | 54 | ||
| R2 / R2 adjusted | 0.485 / 0.443 | ||
| Â | rh_parsorbitalis_area | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | -18.25 | -242.38 – 205.87 | 0.871 |
| INR | -9.58 | -18.83 – -0.34 | 0.042 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Age | 0.78 | -1.23 – 2.79 | 0.439 |
| Sex | -35.71 | -86.48 – 15.06 | 0.165 |
| Observations | 68 | ||
| R2 / R2 adjusted | 0.522 / 0.492 | ||
| Â | lh_parsorbitalis_area | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | -52.58 | -238.51 – 133.36 | 0.573 |
| SES1 | -9.95 | -18.83 – -1.06 | 0.029 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Age | 2.39 | 0.90 – 3.87 | 0.002 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.611 / 0.588 | ||
| Â | lh_parsopercularis_area | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | -79.08 | -640.81 – 482.65 | 0.779 |
| SES1 | -28.64 | -55.47 – -1.80 | 0.037 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Age | 6.39 | 1.91 – 10.86 | 0.006 |
| Observations | 55 | ||
| R2 / R2 adjusted | 0.541 / 0.514 | ||
Neighborhood advantage associated with left hemisphere and pars orbitalis SA, as in the Q>=4 dataset, not significantly associated with pars opercularis SA in this dataset.
Neighborhood advantage is also associated with *as well as right hemisphere pars triangularis SA (not significant in the Q>=4 dataset
| Â | lh_parsorbitalis_area | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | -57.59 | -225.59 – 110.41 | 0.496 |
| SES1 | -9.84 | -18.66 – -1.02 | 0.029 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Age | 2.36 | 0.94 – 3.79 | 0.002 |
| Observations | 69 | ||
| R2 / R2 adjusted | 0.593 / 0.574 | ||
| Â | lh_parsopercularis_area | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 123.92 | -383.01 – 630.85 | 0.627 |
| SES1 | -17.55 | -44.16 – 9.06 | 0.192 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Age | 5.60 | 1.30 – 9.91 | 0.012 |
| Observations | 69 | ||
| R2 / R2 adjusted | 0.455 / 0.430 | ||
| Â | rh_parstriangularis_area | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | -470.22 | -1057.97 – 117.54 | 0.115 |
| SES1 | -38.02 | -68.88 – -7.17 | 0.017 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Age | 4.08 | -0.91 – 9.08 | 0.108 |
| Observations | 69 | ||
| R2 / R2 adjusted | 0.485 / 0.461 | ||
| Â | lh_parsorbitalis_area | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | -0.28 | -212.60 – 212.04 | 0.998 |
| Zip-Income | -0.00 | -0.00 – -0.00 | 0.039 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Age | 1.52 | -0.13 – 3.17 | 0.069 |
| Observations | 44 | ||
| R2 / R2 adjusted | 0.562 / 0.530 | ||
| Â | rh_parstriangularis_area | ||
|---|---|---|---|
| Coeffcient | Estimates | CI (95%) | p-Value |
| Intercept | 159.08 | -273.97 – 592.13 | 0.465 |
| Zip-Income | -0.00 | -0.00 – 0.00 | 0.777 |
| TBV | 0.00 | 0.00 – 0.00 | <0.001 |
| Age | 3.74 | -0.04 – 7.51 | 0.052 |
| Observations | 58 | ||
| R2 / R2 adjusted | 0.448 / 0.418 | ||